BACKGROUND The process of merging data of different data sources is referred to as record linkage. A medical environment with increased preconditions on privacy protection demands the transformation of clear-text attributes like first name or date of birth into one-way encrypted pseudonyms. When performing an automated or privacy preserving record linkage there might be the need of a binary cla...

Texture analysis has been very much used in medical image problems as well as related areas such as computer vision and pattern recognition. Among all medical image task detection of microcalcification on mammograms is the most difficult one because breast cancer is the most prevalent cancer that leads to death in women today. More over microcalcification are deposits of calcium that can be see...

While unsupervised segmentation of RGB images has never led to results comparable to supervised segmentation methods, a surprising message of this paper is that unsupervised image segmentation of RGB-D images yields comparable results to supervised segmentation. We propose an unsupervised segmentation algorithm that is carefully crafted to balance the contribution of color and depth features in...

This paper presents a novel approach to Chinese word segmentation (CWS) that attempts to utilize global information (GI) such as co-occurrence of sub-sequences and outputs of unsupervised segmentation in the whole text for further enhancement of the state-of-the-art performance of conditional random fields (CRF) learning. In the existing work of CWS, supervised and unsupervised learning seldom ...

Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis has been widely investigated through unsupervised-classification-based studies, there are few cases...

BACKGROUND The well-being of breast cancer patients and reporting of adverse events require close monitoring. Mobile apps allow continuous recording of disease- and medication-related symptoms in patients undergoing chemotherapy. OBJECTIVE The aim of the study was to evaluate the effects of a mobile app on patient-reported daily functional activity in a supervised and unsupervised setting. ...

Supervised and unsupervised learning has seldom joined with and thus lend strength to each other in the field of Chinese word segmentation (CWS). This paper presents a novel approach to CWS that utilizes description length gain (DLG), an empirical goodness measure for unsupervised word discovery, to enhance the segmentation performance of conditional random field (CRF) learning. Specifically, w...